Paper
18 October 2012 Power optical signals spectrum assessment using resonance spectral analysis method
Vasily Kazakov, Arseny Zhdanov, Mikhail Vaganov, Oleg Moskaletz
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Abstract
Parallel spectrum analyzer including n analyzed channels power optical signals spectrum assessment is examined. Problem examination is based not on traditional in optics spectrum definition as wavelength function, but on traditional in harmonic analysis theory definition as frequency functions. Each analyzed channel includes a piece of optical fiber, optical resonator (filter), photo detector and integrator. Input-output ratio of a spectral device using parallel analysis is defined by matrix integral operator. Its kernel is matrix complex spectrum spread function of a spectral device. Spectral measurements are only examined in a single channel because all the channels have identical working algorithm. Optical signals spectrum measurement is carried out in two phases. The first phase is to describe the complex spectra of optical signals measurement. Not only the transfer function of optical resonator is considered on this phase, but frequency attenuation response of optical fiber as well. The second phase is to define power characteristic of optical radiation, which includes photo detection and electrical signal integration on the output of the photo detector. Transition from complex matrix integral operator to power matrix integral operator is carried out. Power spectrum assessment properties for each channel are defined. The main property of power spectrum assessment is it’s asymptotically consistence.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vasily Kazakov, Arseny Zhdanov, Mikhail Vaganov, and Oleg Moskaletz "Power optical signals spectrum assessment using resonance spectral analysis method", Proc. SPIE 8498, Optics and Photonics for Information Processing VI, 849812 (18 October 2012); https://doi.org/10.1117/12.929129
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KEYWORDS
Optical filters

Spectrum analysis

Optical fibers

Optical amplifiers

Radio optics

Stochastic processes

Microcontrollers

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